title: Multimedia data mining for automatic diabetic retinopathy screening.
abstract: This paper presents TeleOphta, an automatic system for screening diabetic retinopathy in teleophthalmology networks. Its goal is to reduce the burden on ophthalmologists by automatically detecting non referable examination records, i.e. examination records presenting no image quality problems and no pathological signs related to diabetic retinopathy or any other retinal pathology. TeleOphta is an attempt to put into practice years of algorithmic developments from our groups. It combines image quality metrics, specific lesion detectors and a generic pathological pattern miner to process the visual content of eye fundus photographs. This visual information is further combined with contextual data in order to compute an abnormality risk for each examination record. The TeleOphta system was trained and tested on a large dataset of 25,702 examination records from the OPHDIAT screening network in Paris. It was able to automatically detect 68% of the non referable examination records while achieving the same sensitivity as a second ophthalmologist. This suggests that it could safely reduce the burden on ophthalmologists by 56%.
authors.forename: Gwénolé
authors.initials: G
authors.lastname: Quellec
authors.forename: Mathieu
authors.initials: M
authors.lastname: Lamard
authors.forename: Béatrice
authors.initials: B
authors.lastname: Cochener
authors.forename: Etienne
authors.initials: E
authors.lastname: Decencière
authors.forename: Bruno
authors.initials: B
authors.lastname: Lay
authors.forename: Agnès
authors.initials: A
authors.lastname: Chabouis
authors.forename: Christian
authors.initials: C
authors.lastname: Roux
authors.forename: Guy
authors.initials: G
authors.lastname: Cazuguel
mesh_terms: D000465:Algorithms; D000783:Aneurysm / Q000473:pathology; D057225:Data Mining; D016208:Databases, Factual; D003930:Diabetic Retinopathy / Q000175:diagnosis / Q000453:epidemiology / Q000473:pathology*; D005122:Exudates and Transudates / Q000378:metabolism; D006801:Humans; D019212:Multimedia; D010781:Photography; D012372:ROC Curve; D012160:Retina / Q000473:pathology; D012680:Sensitivity and Specificity; D017216:Telemedicine